FlexShares Quality Etf Forward View - Double Exponential Smoothing

QDEF Etf  USD 78.83  -0.98  -1.23%   
FlexShares Quality's Double Exponential Smoothing reference data is generated by applying the model to available daily closing prices. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Double Exponential Smoothing forecasted value of FlexShares Quality Dividend on the next trading day is expected to be 78.59 with a mean absolute deviation of 0.38 and the sum of the absolute errors of 22.60.When FlexShares Quality Dividend prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any FlexShares Quality Dividend trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent FlexShares Quality observations are given relatively more weight in forecasting than the older observations. FlexShares Quality's Double Exponential Smoothing reference data is provided for informational and analytical purposes and does not constitute a trading recommendation.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for FlexShares Quality works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 24th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of FlexShares Quality Dividend on the next trading day is expected to be 78.59 with a mean absolute deviation of 0.38 , mean absolute percentage error of 0.28 , and the sum of the absolute errors of 22.60 .
Please note that although there have been many attempts to predict FlexShares Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that FlexShares Quality's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Etf Forecast Pattern

Backtest FlexShares Quality  FlexShares Quality Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates FlexShares Quality's predictive range by looking for statistically meaningful downside and upside boundaries. The current forecast range spans downside near 77.95 and upside near 79.23.
Market Value
78.83
78.59
Expected Value
79.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of FlexShares Quality etf data series using in forecasting. Note that when a statistical model is used to represent FlexShares Quality etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0692
MADMean absolute deviation0.383
MAPEMean absolute percentage error0.0047
SAESum of the absolute errors22.5993
When FlexShares Quality Dividend prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any FlexShares Quality Dividend trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent FlexShares Quality observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for FlexShares Quality

Analyzing FlexShares Quality's price movement through moving averages at different time horizons reveals whether short-term momentum aligns with the longer-term trend. Touches of the upper or lower band in FlexShares Quality's chart can signal overbought or oversold conditions.

FlexShares Quality Related Equities

These stocks are related to FlexShares Quality within the Large Value space and can be used for peer review, pricing, or spreading risk. Market cap and total value checks frame FlexShares Quality's size within the competitive field.
 Risk & Return  Correlation

FlexShares Quality Market Strength Events

Market strength indicators for FlexShares Quality etf provide a framework for assessing security responsiveness. These metrics are widely used to refine market timing and identify favorable moments to trade FlexShares Quality.

FlexShares Quality Risk Indicators

Assessing FlexShares Quality's risk indicators is a critical component of any rigorous approach to forecasting its future price. Forecasting FlexShares Quality's future price accurately requires understanding and quantifying the risks present in the investment.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for FlexShares Quality

A coverage review of FlexShares Quality Dividend shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

More Resources for FlexShares Etf Analysis

A baseline understanding of FlexShares Quality is formed through its financial statements and trends. Ratios provide structure to financial performance and growth patterns.
The Historical Fundamental Analysis of FlexShares Quality dataset supports cross-verification of projections for FlexShares Quality.
FlexShares Quality currently shows P/E of 18.12. FlexShares Quality data on this page supports broader research - the resources below add portfolio-level context. FlexShares Quality analysis across multiple dimensions - risk, valuation, diversification - produces a more informed position-sizing decision. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Market capitalization and book value offer complementary views of FlexShares Quality - the first driven by investor sentiment, the second by accounting standards.
FlexShares Quality's value is shaped by fundamental inputs, whereas price is shaped by supply and demand dynamics. The observed price for FlexShares Quality captures the most recent agreement between transacting parties.